Shengli Li

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengli Li trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Shengli Li's perspective

Ordered by how strongly the researchers Shengli Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. Visualizing Data using t-SNE
  3. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
  4. The Need for Biases in Learning Generalizations
  5. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
  6. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers